Orchard apple maturity dataset

The Orchard Apple Maturity Dataset is a collection of images taken in real orchards to help train computer vision models for smart agriculture. It features four distinct classes based on the fruit's development stage: Young apple, Pre-growth apple, Ripe apple, and Late-growth apple, all captured under realistic conditions with varied lighting and backgrounds. This dataset is ideal for tasks like automated harvesting, yield prediction, and object detection by classifying the ripeness of apples directly on the tree.

果园苹果成熟度数据集（Orchard Apple Maturity Dataset）是在真实果园中采集的图像集合，旨在助力智能农业领域的计算机视觉模型训练。该数据集依据苹果的生长阶段划分为四个明确类别：幼龄苹果、生长前期苹果、成熟苹果及生长后期苹果，所有图像均在真实场景下采集，涵盖多样化的光照条件与背景环境。本数据集十分适用于自动化采收、产量预测，以及通过直接识别树上苹果成熟度完成的目标检测等相关任务。